Data Scientist — AI & Risk Analytics (Flexible)

Randstad New Zealand; Wellington; On-site; NZD 103,000 - 135,000; Full time

Benefits offered by this job

5 weeks annual leave

15 days sick leave

Flexible working arrangements

Reward and Recognition Framework

Professional development opportunities

Employee networks (Rainbow, Pacific, 2

Job summary

WorkSafe New Zealand is looking for a Data Scientist to apply advanced analytics, machine learning and AI to regulatory and organisational challenges. You will work with data engineers, analysts and stakeholders to design and deliver models and AI products that inform decision-making and improve outcomes across New Zealand workplaces.

You will contribute to risk-targeting projects and AI agents that support frontline and regulatory work, with a focus on translating analytics into practical

Qualifications

• End-to-end data science project delivery from problem to deployment and monitoring.
• Strong Python or R and SQL skills with data tooling knowledge.
• Experience with or interest in LLM-based solutions (RAG, agents, extraction) or ML.
• Ability to explain technical concepts clearly to non-technical audiences.
• Willingness to learn modern cloud and MLOps tools within Azure.
• Relevant tertiary qualification or equivalent practical experience.

Responsibilities

• Design, build and validate advanced analytical models and AI solutions
• Apply statistical, machine learning and AI techniques to complex problems and datasets, including LLM-based approaches such as retrieval-augmented generation, agents and structured extraction.
• Design evaluation approaches for model and AI outputs, including test sets, human review and appropriate performance measures
• Support the transition of models and AI products into operational use, and monitor their performance once deployed
• Partner with data engineers, analysts and other specialists to deliver end-to-end solutions
• Translate analytical findings into practical insights, and clearly communicate what models can and cannot tell decision-makers

Skills

Python/R

SQL

LLM-based solutions

Data science libraries

Cloud/MLOps (Azure)

Education

Tertiary qualification in Data Science/Statistics/Math/CS

Associate Degree/Diploma ICT

Tools

Azure

ML tools

Job description

WorkSafe New Zealand is looking for a Data Scientist to apply advanced analytics, machine learning and AI to regulatory and organisational challenges. You will work with data engineers, analysts and stakeholders to design and deliver models and AI products that inform decision-making and improve outcomes across New Zealand workplaces.

You will contribute to risk-targeting projects and AI agents that support frontline and regulatory work, with a focus on translating analytics into practical